Adding files for slackbot

docs/apps/slackbot/.env

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+SLACK_SIGNING_SECRET=
+SLACK_OAUTH_TOKEN=
+VERIFICATION_TOKEN=
+OPENAI_KEY=

docs/apps/slackbot/Dockerfile

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+# Use the official Python base image
+FROM python:3.9-slim-buster
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy the requirements.txt file
+COPY requirements.txt .
+
+
+RUN apt-get update && apt-get install -y build-essential \
+    && pip install --upgrade pip setuptools \
+    && pip install hnswlib
+# Install the Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the application code to the container
+COPY . .
+
+# Expose the port that the Flask app will listen on
+EXPOSE 3000
+
+# Run the Flask app
+CMD ["python", "app.py"]

docs/apps/slackbot/README.md

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+# llmlivebook
+
+# Chatbot with Flask and Slack
+
+This repository contains a chatbot implementation using Flask and Slack. The chatbot leverages the Langchain library for question-answering and text processing tasks.
+
+## Features
+
+- Receives events from Slack using SlackEventAdapter.
+- Handles app mentions and responds with a message.
+- Implements a conversational retrieval chain for question-answering.
+- Integrates with OpenAI GPT-3.5 Turbo for language modeling.
+- Utilizes Flask and FastAPI frameworks for building the web server.
+
+## Installation
+
+1. Clone the repository:
+
+   ```bash
+   git clone <repository_url>
+
+2.  Create new app in slack workspace
+
+3.   Configuration
+    Before running the code, you need to configure the following environment variables:
+
+ . All these tokens should be added in .env file
+
+    SLACK_SIGNING_SECRET: Slack apps signing secret.
+    SLACK_BOT_TOKEN: Slack bot token for authentication.
+    VERIFICATION_TOKEN: Slack verification token.
+    OPENAI_API_KEY: OpenAI API key for language modeling.
+
+    All these tokens should be added in .env file
+
+4.  Add all the files on which you want to build the Vectore Db index.
+    Right now its working only with PDF
+
+5.  Usage
+    1.  Run the docker image:
+
+        docker build -it slackbot .
+        docker run -p 3000:3000 slackbot
+
+    2.  Expose the server to the internet using a tool like ngrok. Not required in hosted on public IP
+
+    3.  Set up the Slack app's Event Subscriptions and provide the ngrok URL as the Request URL.
+
+    # Reference 
+
+
+    4.  Start interacting with the chatbot by mentioning the app in a Slack channel.
+
+